Sunday, 18 October 2015

Tees- An Efficient Search Scheme Over Encrypted Data On Mobile Cloud

ABSTRACT:

Cloud
storage provides a convenient, massive, and scalable storage at low cost, but
data privacy is a major concern that prevents users from storing files on the
cloud trustingly. One way of enhancing privacy from data owner point of view is
to encrypt the files before outsourcing them onto the cloud and decrypt the
files after downloading them. However, data encryption is a heavy overhead for
the mobile devices, and data retrieval process incurs a complicated
communication between the data user and cloud. Normally with limited bandwidth
capacity and limited battery life, these issues introduce heavy overhead to
computing and communication as well as a higher power consumption for mobile
device users, which makes the encrypted search over mobile cloud very
challenging. In this paper, we propose TEES (Traffic and Energy saving
Encrypted Search), a bandwidth and energy efficient encrypted search
architecture over mobile cloud. The proposed architecture offloads the
computation from mobile devices to the cloud, and we further optimize the
communication between the mobile clients and the cloud. It is demonstrated that
the data privacy does not degrade when the performance enhancement methods are
applied. Our experiments show that TEES reduces the computation time by 23% to
46% and save the energy consumption by 35% to 55% per file retrieval, meanwhile
the network traffics during the file retrievals are also significantly reduced.

AIM

The
aim of this paper is TEES (Traffic and Energy saving Encrypted Search), a
bandwidth and energy efficient encrypted search architecture over mobile cloud

SCOPE

The
Scope of this paper is to the data privacy does not degrade when the
performance enhancement methods are applied.

EXISTING
SYSTEM

In
this existing file encryption schemes and it cannot deal with compressing data.
After that many methods of keyword search showed up. In Information Retrieval,
F-IDF (term frequency-inverse document frequency) is a statistic which reflects
how important a word is to a document in a collection or corpus. It is often
used as a weighting factor in keyword-based retrieval and text mining. The
TF-IDF algorithm proposed by Salton and McGill’s book is one of the most popular
schemes, among other schemes as encrypted search includes Boolean keyword search
and ranked keyword search. In Boolean keyword search the server sends back
files only based on the existence or absence of the keywords, without looking
at their relevance. It provided a scheme of keyword search, but it does not
send back the most relevant files. In ranked encrypted search, the server sends
back the top-k ranked files. Most of the previous schemes used OPE to encrypt
the index of the file set, although the fully homomorphic encryption method
could also be used.

DISADVANTAGES:

Dataencryption is a heavy overhead for the mobile devices, and data
retrieval process incurs a complicated communication between the data user and
cloud

Limited bandwidth capacity and limited battery life,
these issues introduce heavy overhead to computing and communication as well as
a higher power consumption for mobile device users, which makes the encrypted
search over mobile cloud very challenging.

PROPOSED SYSTEM

Currently,
many researches focus on improving the encrypted search accuracy with
multi-keywords ranking. Wang et al. proposed a one round trip search scheme
which could search the encrypted data. It worth noticing that multi-keyword
ranked search may incur more serious Keywords-files Association Leak problem
(mentioned in Section If attackers observed the keywords and the return files
to learn some relationships between keywords and files, especially through
wireless communication channels for mobile cloud. Cao et al. proposed privacy
preserving method for multi-keyword encrypted search with a way to control the
‘double key leak”. In a fuzzy multi-keyword fuzzy search scheme was presented,
but it suffers from inefficient search time with

two
round-trip communications. Note that multi-keyword is potentially the future
main stream encrypted search scheme with higher searching accuracy, but current
on-going research cannot provide an authoritative method. Therefore, we will
employ the single keyword with OPE TF-IDF encryption method as a basis to
establish a more power and traffic efficient encrypted data search
architecture.

ADVANTAGES

TEES reduces the computation time by 23%
to 46% and save the energy consumption by 35% to 55% per file retrieval.

The network traffics during the file
retrievals are also significantly reduced.